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Come join the Consumer Group Data Engineering Team as a Staff Software Engineer . We are leveraging big data technologies to gain new insights into our customer experiences, building data frameworks, ingestion…
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a…
Voyager (94001), India, Bangalore, Karnātaka Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader…
Lead Software Engineer (Python, AWS) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery…
Job Description: At Remitly, we believe everyone deserves the freedom to access, move, and manage their money wherever life takes them. Since 2011, we've tirelessly delivered on our promise to customers sending…
Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Provide independent data…
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves,…
Software engineer building high-performance advisory suite (block trading, portfolio management, retirement accounts) across full-stack and distributed systems for a fintech startup.
Data Engineer building ETL/ELT pipelines in a Lakehouse environment using Databricks (Unity Catalog), Spark, and Azure Data Factory, collaborating with architects and analysts on a greenfield data platform.
Senior Data Engineer on Snowflake, designing and industrializing data pipelines for clients—using Airflow for orchestration, Spark for distributed compute, and Terraform/Docker/K8s for infrastructure and deployment.
Lead data platform design and development on AWS/Databricks (Spark, Airflow) for petabyte-scale vehicle validation time-series data, while mentoring a data engineering team.
Stellantis is seeking a Senior Data Engineer to design and maintain scalable data platforms using AWS and Databricks. The role involves developing data pipelines with Spark, Scala, and Python while providing technical leadership and mentoring to the engineering team.
Stellantis is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes. The role involves using Python, Spark, and cloud technologies to ensure data reliability and support data-driven decision-making across the organization.
As a Data Engineer at Davidson, you will design, develop, and maintain scalable ETL/ELT data pipelines and data warehouses on Google Cloud Platform. You will work with technologies like BigQuery, Python, SQL, and Airflow to support data-driven projects for various clients.
Backend Engineer on the AI Platform team designing, building, and operating scalable distributed backend services, APIs, and event-driven integrations for a mortgage loan-servicing company, using modern backend languages, major cloud platforms (AWS/GCP/Azure), SQL, and CI/CD practices.
The Principal Data Engineer will provide enterprise-wide technical leadership for data platforms and governance at NZTA, mentoring staff and shaping data and AI capabilities. The role involves strategic decision-making and technical assurance for complex, high-impact data programs.
The Data Engineer will design and maintain scalable ETL/ELT pipelines in Azure Databricks to process insurance data. The role involves collaborating with stakeholders to deliver data assets, ensuring data quality and security, and automating workflows using tools like Azure Data Factory and GitHub Actions.
Data engineer designing and maintaining ETL/ELT pipelines on Azure Databricks for insurance data, using PySpark/Scala, Python, Informatica, and GitHub Actions.
Lead a data engineering team, design scalable data solutions, define architecture, and enforce coding standards using Python, SQL, Scala, and Azure.
The Data Engineer will build and maintain data pipelines and complex data structures to support predictive modeling and analytics. The role utilizes technologies including SQL, Python, Spark, Snowflake, and Azure Data Factory.
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